Google Data Scientist Product Intern MS Summer Canada, Ontario, Waterloo 599165061
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Please complete your application before October 31st, 2025.
Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role.
Participation in the internship program requires that you are located in Canada for the duration of the internship program.
This internship is intended for students in their penultimate academic year, who are pursuing a Master's degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In the “Resume Section:” attach an updated CV or resume.
- Please ensure you’ve listed your anticipated graduation date (in MM/YY)
- In the “Education Section:” attach a current or recent unofficial or official transcript in English.
- Under “Degree Status,” select “Now attending” to upload a transcript.
Minimum qualifications:
- Currently pursuing a Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences, etc.).
- Experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
- Experience articulating product questions, pulling data from datasets (SQL), and using statistics to arrive at an answer.
Preferred qualifications:
- Currently attending a degree program in Canada and available to work full time for 12 weeks outside of university term time.
- In their penultimate academic year or returning to a degree program after completion of the internship.
- Ability to translate analysis results into business recommendations
- Ability to work with data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
- Excellent business judgment, problem-solving, and written/verbal commutation skills.
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